Ai Coding Tools

How to Build Your First Application Using AI Tools in Just 72 Hours

By BTW Team4 min read

How to Build Your First Application Using AI Tools in Just 72 Hours

Building your first application can feel overwhelming, especially with the rapid advancements in AI tools. The good news? You can do it in just 72 hours. This isn't just a hype-filled promise; it's a real, achievable goal if you use the right tools and strategies. In this guide, I’ll walk you through the process, share the tools we actually use, and provide honest insights on what works and what doesn't.

Prerequisites: What You Need Before Starting

Before diving in, here's what you'll need:

  1. Basic Coding Knowledge: Familiarity with languages like Python or JavaScript will be helpful.
  2. An Idea: A simple application concept (think: to-do list, budget tracker, etc.).
  3. Access to AI Tools: Create accounts for the tools listed below.

Time Estimate: 72 Hours

You can complete this project in 72 hours if you stick to a focused plan. Break it down into three main phases:

  • Day 1: Planning and setup
  • Day 2: Building the application
  • Day 3: Testing and deployment

Step-by-Step Guide to Building Your Application

Day 1: Planning and Setup

  1. Define Your Application's Purpose: Write down what problem your application solves. Keep it simple.

  2. Sketch the User Interface: Use a tool like Figma (Free tier available) to create a rough design of your app.

  3. Select Your AI Tools: Choose the tools you'll use from the list below.

Day 2: Building the Application

  1. Set Up Your Development Environment: Use VS Code (Free) for coding. Install necessary libraries based on your chosen language.

  2. Integrate AI Tools: Depending on your application, this could involve setting up APIs for machine learning models or integrating chat functionalities.

  3. Write Your Code: Start coding based on the UI you designed. Focus on core functionalities first.

Day 3: Testing and Deployment

  1. Test Your Application: Make sure to test for bugs. Get feedback from a few users if possible.

  2. Deploy Your Application: Use platforms like Heroku (Free tier available) or Vercel (Free) to publish your app online.

  3. Gather Feedback: Once live, ask users for feedback to improve your app.

Tool List: AI Tools to Consider

| Tool Name | What It Does | Pricing | Best For | Limitations | Our Take | |----------------|----------------------------------------------|---------------------------|-------------------------------------------|-----------------------------------------------|------------------------------------------------| | OpenAI API | Provides language models for text generation | $0.0004 per token | Chatbots, content generation | Cost can add up with heavy usage | We use it for generating responses in apps. | | TensorFlow | Framework for building ML models | Free | Machine learning applications | Steep learning curve for beginners | We don't use it due to the complexity. | | Hugging Face | Pre-trained models for NLP | Free, Pro starts at $9/mo| Text analysis, generation | Requires some ML knowledge | We use it for NLP tasks in our projects. | | Streamlit | Framework to create web apps quickly | Free, Pro starts at $15/mo| Data apps, dashboards | Limited customization options | We love using it for quick prototypes. | | Zapier | Connects apps to automate workflows | Free tier + $19.99/mo | Automation between different services | Limited integrations on the free tier | We don't use it because we prefer custom code. | | Figma | Design tool for UI/UX mockups | Free tier + $12/mo Pro | UI/UX design | Free tier has limited features | Essential for our design process. | | Vercel | Hosting platform for front-end applications | Free tier + $20/mo Pro | Front-end deployment | Can get expensive with high traffic | We always deploy our apps here. | | Heroku | Cloud platform for backend applications | Free tier + $7/mo Basic | Backend services | Limited resources on the free tier | Great for quick backend setups. | | GitHub | Version control and collaboration tool | Free for public repos | Code management | Private repos require paid plan | We use it for all our projects. | | Bubble | No-code platform for building apps | Free tier + $29/mo Personal| Non-coders building apps | Limited customization for complex apps | We skip it for more control over code. |

What We Actually Use

In our experience, the combination of OpenAI API for language processing, Streamlit for quick web apps, and Vercel for deployment has been the most effective for our projects.

Conclusion: Start Here

To build your first application using AI tools in 72 hours, start by defining a simple idea and leverage the tools listed above. Focus on the essentials, and don’t get bogged down by complexity. Remember, the goal is to ship something functional, not perfect.

For your first application, I recommend starting with the OpenAI API and Streamlit. They are user-friendly and have ample resources to help you get going.

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